March 19, 2025

Senior Machine Learning Manager – Ads Signals Intelligence

Senior • On-site

$190,700 - $329,600/yr

Cupertino, CA

Summary

Posted:
Role Number:200595510
At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Signals Intelligence! This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple’s Ad Platforms and driving key business outcomes.

Description

As a Machine Learning (ML) Manager, you'll be responsible for building and scaling a common platform for ads signals intelligence, enabling a deep understanding of key ad entities, including apps, queries, and user context. This intelligence will be used across Apple’s Ads ecosystem to enhance Matching, Predictions, Ads Relevance, and overall ad performance. - Define and implement the strategy for signals intelligence, ensuring its effective application across Apple Ads. - Leverage innovative research and technology, including LLMs (and distilled versions) for text understanding, NLS for search queries and app comprehension, and multimodal data to integrate insights from text, creatives, and engagement-based signals. - Develop a comprehensive strategy for constructing and using a knowledge graph for apps, enabling better understanding of relationships between apps, queries, user behavior, and engagement signals. - Design and analyze sophisticated algorithms to extract meaningful patterns from vast data sources. - Develop privacy-friendly, on-device representations of signals that can be optimally used while maintaining Apple’s high privacy standards. - Collaborate with cross-functional teams to identify common patterns in signal utilization and optimize ad performance at the user, campaign, and app levels. - Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness. - Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform. - Operate at utmost scale, ensuring efficient and reliable model deployment and execution. - Develop and implement ad algorithms, yield optimization solutions, and marketplace data analyses within an ad network. - Architect and scalable intelligence systems, addressing operational concerns and performance optimizations.

Minimum Qualifications

  • 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
  • Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions.
  • Experience in one or more of the following domains: Algorithms, Architecture, AI, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, Quantitative Analysis, or Systems Software implementation.
  • Deep mathematical understanding of modern ML techniques, including linear algebra and statistics.
  • Hands-on experience with Python or Java in a production environment.
  • Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
  • Track record of leading engineering teams from design to implementation, ensuring scalability and reliability.
  • Experience working with operational teams on deployment, monitoring, and system management.
  • BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

Preferred Qualifications

  • 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
  • MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.